Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "131" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 102 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 100 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459919 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.327241 | 12.274328 | 3.654330 | 4.327021 | 9.131175 | 10.304449 | 3.839848 | 0.262909 | 0.0338 | 0.0404 | 0.0032 | nan | nan |
| 2459918 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.767813 | 13.904856 | 3.648674 | 4.299657 | 6.985581 | 6.801214 | 4.082291 | 0.245161 | 0.0335 | 0.0384 | 0.0023 | nan | nan |
| 2459917 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459916 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.191910 | 12.156471 | 3.862355 | 4.426751 | 7.375128 | 7.783124 | 3.587127 | -0.066511 | 0.0327 | 0.0394 | 0.0031 | nan | nan |
| 2459915 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.759409 | 12.984566 | 4.427352 | 5.009986 | 7.979075 | 7.724213 | 5.840084 | 1.994136 | 0.0357 | 0.0446 | 0.0039 | nan | nan |
| 2459914 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.713278 | 14.292569 | 4.535959 | 5.205698 | 8.705454 | 9.249174 | 7.586482 | 6.312523 | 0.0353 | 0.0413 | 0.0027 | nan | nan |
| 2459913 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.730883 | 14.205791 | 3.698346 | 4.438965 | 9.046651 | 9.232704 | 8.483772 | 1.115527 | 0.0337 | 0.0397 | 0.0026 | nan | nan |
| 2459912 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.743666 | 12.100721 | 3.240638 | 4.154650 | 8.731822 | 8.030578 | 3.200426 | -0.237143 | 0.0350 | 0.0408 | 0.0023 | nan | nan |
| 2459911 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.327437 | 11.409938 | 3.623058 | 4.376488 | 8.542104 | 7.352175 | 1.584759 | -0.754861 | 0.0337 | 0.0388 | 0.0021 | nan | nan |
| 2459910 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.587549 | 11.758994 | 3.645751 | 4.374693 | 8.763938 | 7.693837 | 1.774008 | -0.765913 | 0.0339 | 0.0385 | 0.0020 | nan | nan |
| 2459909 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.120333 | 12.235252 | 3.530172 | 4.289720 | 7.523682 | 6.314047 | 2.441679 | -0.435971 | 0.0338 | 0.0382 | 0.0019 | nan | nan |
| 2459908 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.722437 | 12.996049 | 3.451142 | 4.240449 | 6.380707 | 5.694422 | 2.726897 | -0.283778 | 0.0339 | 0.0394 | 0.0023 | nan | nan |
| 2459907 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.741144 | 13.123640 | 3.679203 | 4.541479 | 6.884918 | 6.163463 | 2.453300 | -0.199506 | 0.0359 | 0.0426 | 0.0026 | nan | nan |
| 2459906 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.485848 | 13.212406 | 3.781403 | 4.595318 | 7.953853 | 8.447283 | 3.277739 | 0.031608 | 0.0333 | 0.0389 | 0.0021 | nan | nan |
| 2459905 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.006505 | 12.276858 | 3.710931 | 4.396680 | 12.366019 | 13.430452 | 2.342905 | -0.609023 | 0.0330 | 0.0367 | 0.0018 | nan | nan |
| 2459904 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.741114 | 12.377644 | 4.084231 | 4.902953 | 8.982867 | 10.176968 | 4.963706 | -0.096024 | 0.0337 | 0.0371 | 0.0017 | nan | nan |
| 2459903 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.471168 | 13.175075 | 4.132109 | 4.893603 | 7.202179 | 7.859361 | 4.832671 | 0.035851 | 0.0330 | 0.0380 | 0.0019 | nan | nan |
| 2459902 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.096790 | 14.652796 | 4.326853 | 4.958461 | 7.786464 | 8.227949 | 2.649771 | -0.234632 | 0.0350 | 0.0405 | 0.0021 | nan | nan |
| 2459901 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.293250 | 14.996704 | 3.821770 | 4.577822 | 7.134623 | 7.203505 | 2.982747 | -0.283022 | 0.0359 | 0.0426 | 0.0025 | nan | nan |
| 2459900 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.975011 | 15.190420 | 4.147058 | 4.983644 | 9.112921 | 7.776536 | 2.841021 | -0.251440 | 0.0337 | 0.0393 | 0.0020 | nan | nan |
| 2459898 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.665238 | 12.408477 | 3.733986 | 4.533602 | 8.220851 | 9.279076 | 3.829935 | -0.010994 | 0.0339 | 0.0391 | 0.0017 | nan | nan |
| 2459897 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.398689 | 12.135540 | 3.696341 | 4.700583 | 9.466167 | 10.006166 | 3.481041 | -0.018187 | 0.0335 | 0.0372 | 0.0016 | nan | nan |
| 2459896 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.698669 | 12.275720 | 3.993406 | 4.790990 | 9.920085 | 10.913806 | 2.255090 | -0.164050 | 0.0334 | 0.0383 | 0.0020 | nan | nan |
| 2459895 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.378876 | 15.081433 | 5.155754 | 5.761340 | 10.227232 | 11.010898 | 6.117297 | 5.426754 | 0.0338 | 0.0386 | 0.0015 | nan | nan |
| 2459894 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.305516 | 14.358702 | 3.243849 | 4.135536 | 9.818387 | 10.520555 | 4.006404 | -0.187046 | 0.0346 | 0.0388 | 0.0017 | nan | nan |
| 2459893 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.647593 | 14.795953 | 3.655854 | 4.538803 | 8.146504 | 9.202921 | 4.517114 | 0.432980 | 0.0342 | 0.0394 | 0.0019 | nan | nan |
| 2459892 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.720553 | 14.603077 | 4.344550 | 5.223288 | 6.643665 | 7.073597 | 3.565065 | -0.111441 | 0.0354 | 0.0433 | 0.0027 | nan | nan |
| 2459891 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.333930 | 13.440007 | 4.129333 | 5.167683 | 8.499893 | 10.279552 | 2.934945 | 0.059757 | 0.0340 | 0.0391 | 0.0019 | nan | nan |
| 2459890 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.922213 | 13.697487 | 5.129210 | 5.915404 | 8.186525 | 9.084391 | 2.087038 | -0.746631 | 0.0332 | 0.0379 | 0.0016 | nan | nan |
| 2459889 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.265485 | 15.498490 | 3.828482 | 4.870294 | 11.087920 | 12.893610 | 5.263872 | 0.092945 | 0.0352 | 0.0407 | 0.0019 | nan | nan |
| 2459888 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.117406 | 12.924816 | 4.956511 | 5.757145 | 9.876907 | 11.746109 | 2.992539 | 1.648574 | 0.0347 | 0.0403 | 0.0020 | nan | nan |
| 2459887 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.894423 | 13.811084 | 5.118182 | 5.665428 | 7.410588 | 10.262673 | 2.242681 | -0.034327 | 0.0350 | 0.0405 | 0.0021 | nan | nan |
| 2459886 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.803264 | 18.792646 | 4.486169 | 5.068288 | 14.569629 | 14.974729 | 4.014361 | 3.159582 | 0.0365 | 0.0435 | 0.0025 | nan | nan |
| 2459885 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 20.368262 | 22.587132 | 25.174647 | 27.524445 | 14.132781 | 19.289267 | 17.564955 | 11.144407 | 0.0347 | 0.0387 | 0.0018 | nan | nan |
| 2459884 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.340479 | 12.965556 | 4.758826 | 5.507901 | 7.944354 | 9.805018 | 2.433684 | -0.492780 | 0.0330 | 0.0373 | 0.0018 | nan | nan |
| 2459883 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 15.908418 | 18.034637 | 23.315863 | 25.230392 | 7.880056 | 10.748870 | 7.744124 | 1.010892 | 0.0331 | 0.0397 | 0.0024 | nan | nan |
| 2459882 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 26.453431 | 29.460134 | 24.817993 | 27.524725 | 11.162442 | 15.143978 | 4.271235 | 0.093442 | 0.0347 | 0.0412 | 0.0024 | nan | nan |
| 2459881 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.906066 | 16.822270 | 28.820432 | 31.602037 | 22.038717 | 30.455702 | 11.178408 | 11.494824 | 0.0332 | 0.0384 | 0.0019 | nan | nan |
| 2459880 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.188802 | 20.421482 | 24.408560 | 26.229431 | 6.772598 | 9.188550 | 4.024586 | -0.370934 | 0.0338 | 0.0381 | 0.0018 | nan | nan |
| 2459879 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.535171 | 10.988951 | 4.371375 | 5.044346 | 1.388795 | 1.931155 | 3.387463 | -0.013406 | 0.0336 | 0.0377 | 0.0021 | nan | nan |
| 2459878 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.390581 | 18.238118 | 29.637816 | 31.752821 | 11.569532 | 15.666116 | 10.613693 | 1.096390 | 0.0351 | 0.0414 | 0.0027 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.274328 | 11.327241 | 12.274328 | 3.654330 | 4.327021 | 9.131175 | 10.304449 | 3.839848 | 0.262909 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.904856 | 13.904856 | 12.767813 | 4.299657 | 3.648674 | 6.801214 | 6.985581 | 0.245161 | 4.082291 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.156471 | 11.191910 | 12.156471 | 3.862355 | 4.426751 | 7.375128 | 7.783124 | 3.587127 | -0.066511 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.984566 | 11.759409 | 12.984566 | 4.427352 | 5.009986 | 7.979075 | 7.724213 | 5.840084 | 1.994136 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.292569 | 12.713278 | 14.292569 | 4.535959 | 5.205698 | 8.705454 | 9.249174 | 7.586482 | 6.312523 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.205791 | 14.205791 | 12.730883 | 4.438965 | 3.698346 | 9.232704 | 9.046651 | 1.115527 | 8.483772 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.100721 | 12.100721 | 10.743666 | 4.154650 | 3.240638 | 8.030578 | 8.731822 | -0.237143 | 3.200426 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 11.409938 | 11.409938 | 10.327437 | 4.376488 | 3.623058 | 7.352175 | 8.542104 | -0.754861 | 1.584759 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 11.758994 | 11.758994 | 10.587549 | 4.374693 | 3.645751 | 7.693837 | 8.763938 | -0.765913 | 1.774008 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.235252 | 12.235252 | 11.120333 | 4.289720 | 3.530172 | 6.314047 | 7.523682 | -0.435971 | 2.441679 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.996049 | 11.722437 | 12.996049 | 3.451142 | 4.240449 | 6.380707 | 5.694422 | 2.726897 | -0.283778 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.123640 | 13.123640 | 11.741144 | 4.541479 | 3.679203 | 6.163463 | 6.884918 | -0.199506 | 2.453300 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.212406 | 13.212406 | 11.485848 | 4.595318 | 3.781403 | 8.447283 | 7.953853 | 0.031608 | 3.277739 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Temporal Variability | 13.430452 | 12.276858 | 11.006505 | 4.396680 | 3.710931 | 13.430452 | 12.366019 | -0.609023 | 2.342905 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.377644 | 12.377644 | 10.741114 | 4.902953 | 4.084231 | 10.176968 | 8.982867 | -0.096024 | 4.963706 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.175075 | 13.175075 | 11.471168 | 4.893603 | 4.132109 | 7.859361 | 7.202179 | 0.035851 | 4.832671 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.652796 | 13.096790 | 14.652796 | 4.326853 | 4.958461 | 7.786464 | 8.227949 | 2.649771 | -0.234632 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.996704 | 13.293250 | 14.996704 | 3.821770 | 4.577822 | 7.134623 | 7.203505 | 2.982747 | -0.283022 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 15.190420 | 11.975011 | 15.190420 | 4.147058 | 4.983644 | 9.112921 | 7.776536 | 2.841021 | -0.251440 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.408477 | 12.408477 | 10.665238 | 4.533602 | 3.733986 | 9.279076 | 8.220851 | -0.010994 | 3.829935 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.135540 | 12.135540 | 10.398689 | 4.700583 | 3.696341 | 10.006166 | 9.466167 | -0.018187 | 3.481041 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.275720 | 12.275720 | 10.698669 | 4.790990 | 3.993406 | 10.913806 | 9.920085 | -0.164050 | 2.255090 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 15.081433 | 13.378876 | 15.081433 | 5.155754 | 5.761340 | 10.227232 | 11.010898 | 6.117297 | 5.426754 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.358702 | 14.358702 | 12.305516 | 4.135536 | 3.243849 | 10.520555 | 9.818387 | -0.187046 | 4.006404 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.795953 | 12.647593 | 14.795953 | 3.655854 | 4.538803 | 8.146504 | 9.202921 | 4.517114 | 0.432980 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 14.603077 | 14.603077 | 12.720553 | 5.223288 | 4.344550 | 7.073597 | 6.643665 | -0.111441 | 3.565065 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.440007 | 11.333930 | 13.440007 | 4.129333 | 5.167683 | 8.499893 | 10.279552 | 2.934945 | 0.059757 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.697487 | 13.697487 | 11.922213 | 5.915404 | 5.129210 | 9.084391 | 8.186525 | -0.746631 | 2.087038 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 15.498490 | 13.265485 | 15.498490 | 3.828482 | 4.870294 | 11.087920 | 12.893610 | 5.263872 | 0.092945 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.924816 | 12.924816 | 11.117406 | 5.757145 | 4.956511 | 11.746109 | 9.876907 | 1.648574 | 2.992539 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 13.811084 | 13.811084 | 11.894423 | 5.665428 | 5.118182 | 10.262673 | 7.410588 | -0.034327 | 2.242681 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 18.792646 | 16.803264 | 18.792646 | 4.486169 | 5.068288 | 14.569629 | 14.974729 | 4.014361 | 3.159582 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Power | 27.524445 | 22.587132 | 20.368262 | 27.524445 | 25.174647 | 19.289267 | 14.132781 | 11.144407 | 17.564955 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 12.965556 | 12.965556 | 11.340479 | 5.507901 | 4.758826 | 9.805018 | 7.944354 | -0.492780 | 2.433684 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Power | 25.230392 | 18.034637 | 15.908418 | 25.230392 | 23.315863 | 10.748870 | 7.880056 | 1.010892 | 7.744124 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 29.460134 | 29.460134 | 26.453431 | 27.524725 | 24.817993 | 15.143978 | 11.162442 | 0.093442 | 4.271235 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Power | 31.602037 | 16.822270 | 14.906066 | 31.602037 | 28.820432 | 30.455702 | 22.038717 | 11.494824 | 11.178408 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Power | 26.229431 | 20.421482 | 18.188802 | 26.229431 | 24.408560 | 9.188550 | 6.772598 | -0.370934 | 4.024586 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Shape | 10.988951 | 10.988951 | 9.535171 | 5.044346 | 4.371375 | 1.931155 | 1.388795 | -0.013406 | 3.387463 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 131 | N11 | not_connected | nn Power | 31.752821 | 18.238118 | 16.390581 | 31.752821 | 29.637816 | 15.666116 | 11.569532 | 1.096390 | 10.613693 |